Introduction to database development
•
1 like•459 views
This document provides an introduction to database development and Microsoft Access. It defines key database terminology like database, table, fields, records, forms, queries, and reports. It explains that a database is a collection of organized data stored electronically. A database management system (DBMS) is software that allows users to access and manage the database. Microsoft Access is described as a relational database management system designed for home and small business use. The document outlines how to create tables and work with fields in a database.
Report
Share
Report
Share
Download to read offline
Recommended
Introduction to database
This document provides an introduction to databases, including their purpose, types, and structured models. It defines a database as a collection of organized data and describes how they allow users to easily store, manage, update, and access information. The key types are operational databases for day-to-day operations and analytical databases for long-term analysis. Structured database models discussed include hierarchical, network, relational, entity-relationship, dimensional, and object-relational. Relational database terminology like data, information, tables, records, fields, keys, and relationships are also defined.
Dbms
The document discusses database management systems (DBMS). It defines a database as a collection of related data and describes a DBMS as software that enables users to create, maintain and share databases. It provides an example of a university database with files for students, courses, grades and prerequisites. It outlines key characteristics of the database approach such as self-describing nature, insulation between programs and data, support of multiple views, and sharing of data.
Oltp vs olap
OLTP systems emphasize short, frequent transactions with a focus on data integrity and query speed. OLAP systems handle fewer but more complex queries involving data aggregation. OLTP uses a normalized schema for transactional data while OLAP uses a multidimensional schema for aggregated historical data. A data warehouse stores a copy of transaction data from operational systems structured for querying and reporting, and is used for knowledge discovery, consolidated reporting, and data mining. It differs from operational systems in being subject-oriented, larger in size, containing historical rather than current data, and optimized for complex queries rather than transactions.
Ms access
A database program allows you to store, find, analyze, manage, and share information. It contains tables to store data, queries to ask questions of data, forms for easy data entry and viewing, reports to present data in a printed format, pages for intranet and internet access, macros to automate tasks, and modules for more complex automation using programming code. Key aspects include creating tables with primary keys, building relationships between tables, designing queries using criteria, creating forms to view and edit data, and generating reports to output data. Macros can automate common tasks like opening forms or printing reports.
Msaccess
Microsoft Access is a relational database management system (RDBMS) that is part of the Microsoft Office suite of applications. It allows users to create and manage databases to store and organize various types of data. Some common uses of MS Access databases include managing inventory, customer information for businesses, and as a backend for small software applications. Access allows users to create tables to store data, queries to extract and analyze specific data, forms to view and edit records, and reports to output data. Relationships can also be set between tables to link related data for combined reporting and analysis.
Database and Database Management (DBM): Health Informatics
A database is an organized collection of related data that can be used alone or combined with other data for multiple purposes. A database management system (DBMS) enables users to store, modify, and extract information from a database. Key characteristics of a DBMS include performance, sharing data access, security, removing redundancy, and concurrent access. DBMS were developed to address difficulties with typical file processing systems like data redundancy, inconsistent access, and security problems.
Database Management System
The document discusses database management systems and their advantages over traditional file systems. It covers key concepts such as:
1) Databases organize data into tables with rows and columns to allow for easier querying and manipulation of data compared to file systems which store data in unstructured files.
2) Database management systems employ concepts like normalization, transactions, concurrency and security to maintain data integrity and consistency when multiple users are accessing the data simultaneously.
3) The logical design of a database is represented by its schema, while a database instance refers to the current state of the data stored in the database tables at a given time.
Database Management Systems - Management Information System
A DBMS is software that:Acts as an interface between application programs and the data files.Helps to reduce data redundancy and eliminate data inconsistency by allowing a central, shared data source
Recommended
Introduction to database
This document provides an introduction to databases, including their purpose, types, and structured models. It defines a database as a collection of organized data and describes how they allow users to easily store, manage, update, and access information. The key types are operational databases for day-to-day operations and analytical databases for long-term analysis. Structured database models discussed include hierarchical, network, relational, entity-relationship, dimensional, and object-relational. Relational database terminology like data, information, tables, records, fields, keys, and relationships are also defined.
Dbms
The document discusses database management systems (DBMS). It defines a database as a collection of related data and describes a DBMS as software that enables users to create, maintain and share databases. It provides an example of a university database with files for students, courses, grades and prerequisites. It outlines key characteristics of the database approach such as self-describing nature, insulation between programs and data, support of multiple views, and sharing of data.
Oltp vs olap
OLTP systems emphasize short, frequent transactions with a focus on data integrity and query speed. OLAP systems handle fewer but more complex queries involving data aggregation. OLTP uses a normalized schema for transactional data while OLAP uses a multidimensional schema for aggregated historical data. A data warehouse stores a copy of transaction data from operational systems structured for querying and reporting, and is used for knowledge discovery, consolidated reporting, and data mining. It differs from operational systems in being subject-oriented, larger in size, containing historical rather than current data, and optimized for complex queries rather than transactions.
Ms access
A database program allows you to store, find, analyze, manage, and share information. It contains tables to store data, queries to ask questions of data, forms for easy data entry and viewing, reports to present data in a printed format, pages for intranet and internet access, macros to automate tasks, and modules for more complex automation using programming code. Key aspects include creating tables with primary keys, building relationships between tables, designing queries using criteria, creating forms to view and edit data, and generating reports to output data. Macros can automate common tasks like opening forms or printing reports.
Msaccess
Microsoft Access is a relational database management system (RDBMS) that is part of the Microsoft Office suite of applications. It allows users to create and manage databases to store and organize various types of data. Some common uses of MS Access databases include managing inventory, customer information for businesses, and as a backend for small software applications. Access allows users to create tables to store data, queries to extract and analyze specific data, forms to view and edit records, and reports to output data. Relationships can also be set between tables to link related data for combined reporting and analysis.
Database and Database Management (DBM): Health Informatics
A database is an organized collection of related data that can be used alone or combined with other data for multiple purposes. A database management system (DBMS) enables users to store, modify, and extract information from a database. Key characteristics of a DBMS include performance, sharing data access, security, removing redundancy, and concurrent access. DBMS were developed to address difficulties with typical file processing systems like data redundancy, inconsistent access, and security problems.
Database Management System
The document discusses database management systems and their advantages over traditional file systems. It covers key concepts such as:
1) Databases organize data into tables with rows and columns to allow for easier querying and manipulation of data compared to file systems which store data in unstructured files.
2) Database management systems employ concepts like normalization, transactions, concurrency and security to maintain data integrity and consistency when multiple users are accessing the data simultaneously.
3) The logical design of a database is represented by its schema, while a database instance refers to the current state of the data stored in the database tables at a given time.
Database Management Systems - Management Information System
A DBMS is software that:Acts as an interface between application programs and the data files.Helps to reduce data redundancy and eliminate data inconsistency by allowing a central, shared data source
Data Warehouse Fundamentals
The document discusses dimensional modeling concepts for data warehousing. It defines dimensional modeling as a technique to design database tables optimized for analytical tasks in a data warehouse. Dimensional models consist of fact tables that contain metrics/measurements and dimension tables that provide context for the facts. The document provides examples of star schemas where the fact table is at the center connected to various dimension tables, and explains how dimensional modeling supports analysis of data through queries along different dimensions.
Types of databases
Here I describe How many Types in Database management System. I also tell about advantage and disadvantage of those types
DBMS
This document provides an overview and introduction to a lecture on database management systems (DBMS). It discusses how companies are increasingly data-driven and how this class will teach the basics of using and managing data. The lecture will cover the motivation for studying DBMS, an overview of the subject, and course logistics. The goal is for students to understand fundamental database concepts and be able to design, query, and build applications with databases.
Introduction to metadata management
PwC is a global network of firms providing professional services including assurance, tax, and advisory services. This training module provides an introduction to metadata management, including defining metadata, the metadata lifecycle, ensuring metadata quality, and using controlled vocabularies. Metadata exchanges and aggregation are important for interoperability.
Database basics
This document provides an overview of database basics and concepts for business analysts. It covers topics such as the need for databases, different types of database management systems (DBMS), data storage in tables, common database terminology, database normalization, SQL queries including joins and aggregations, and database design concepts.
SQL
SQL is a language used to manage data in relational database management systems. It allows users to define, manipulate, and control access to data. Some key points about SQL:
- SQL is used to query, insert, update, and manipulate data stored in tables. It represents data as rows and columns.
- It works with many programming languages and applications. Data can be retrieved using SELECT statements and inserted using INSERT statements.
- SQL databases store data in tables which can then be related to each other using operations like joins. This relational model allows flexible data retrieval and reporting.
Database administrator
A database administrator is responsible for installing, configuring, upgrading, administering, monitoring and maintaining databases. Key responsibilities include database design, performance and capacity issues, data replication, and table maintenance. DBAs ensure proper data organization and management through their skills in SQL, database design, and knowledge of database management systems and operating systems. There are several types of DBAs based on their specific roles like system DBA, database architect, and data warehouse administrator.
Ms access 2010
Microsoft Access is a database management program that allows users to create and manage databases. It allows users to create tables to store data in fields and records, and relate tables together. Users can also create forms and reports to display and organize the data. Advanced users can write code and applications to further manipulate the data. Access is used for personal, small business, departmental, and corporate applications to store and reference information.
Ms access
MS Access -defination, features,screenshots of menu bar in Access, problems, solution, using and working of MS Access.
Tutorial for using SQL in Microsoft Access
SQL is a programming language used to manage data in relational databases. It allows users to insert, query, update and delete data from database tables. Microsoft Access is a common program that uses SQL to interact with its data tables, allowing users to run queries to retrieve certain records based on conditions. The document provides examples of SQL statements like SELECT, UPDATE, DELETE used in Microsoft Access and videos demonstrating how to execute them to select, modify and remove data from Access tables.
Data Modeling with Power BI
This document discusses the importance of data modeling in Power BI and provides an agenda for a workshop on data modeling techniques. The agenda includes explaining why data modeling is important, relationships, cross filtering, many-to-many relationships, role playing dimensions, and using a calendar table. The workshop aims to explore the features of data modeling in Power BI and enable users to navigate data without having to rewrite queries each time.
data modeling and models
This document provides an overview of data modeling, including definitions of key concepts like data models and data modeling. It describes the evolution of popular data models from hierarchical to network to relational to entity-relationship to object-oriented models. For each model, it outlines the basic concepts, advantages, and disadvantages. The document emphasizes that newer data models aimed to address shortcomings of previous approaches and capture real-world data and relationships.
Basic Concept of Database
This document provides an overview of basic database concepts including:
- Definitions of data, information, and databases
- Components of database systems like users, software, hardware, and data
- Data models including entity-relationship, hierarchical, network, and relational models
- Database architecture types such as centralized, client-server, and distributed
- Advantages and disadvantages of database management systems
Introduction to database & sql
The document provides an introduction to databases and SQL. It defines what a database is as a collection of related data containing information relevant to an enterprise. It then discusses the properties of databases, what a database management system (DBMS) is, the typical functionality of a DBMS including defining, constructing, manipulating databases, and providing security. It also summarizes the components of a database system including fields, records, queries, and reports. The document then introduces SQL and its uses for data manipulation, definition, and administration. It provides examples of SQL statements for creating tables, inserting, querying, updating, and deleting data.
Power BI Interview Questions and Answers | Power BI Certification | Power BI ...
( Power BI Training - https://www.edureka.co/power-bi-training )
This Edureka "PowerBI Interview Questions and Answers" tutorial will help you unravel concepts of Power BI and touch those topics that are very vital for succeeding in Power BI Interviews.
This video helps you to learn the following topics:
1. General Power BI Questions
2. DAX
3. Power Pivot
4. Power Query
5. Power Map
6. Additional Questions
Check out our Power BI Playlist: https://goo.gl/97sJv1
Unit01 dbms 2
This document provides an overview of a database management systems course, including slides related to key concepts. The slides cover topics such as database applications, the benefits of using a DBMS over file systems, data models, SQL, database users and administrators, data storage and querying, and database system architectures. The document is intended to introduce students to fundamental DBMS concepts through explanatory slides.
Multidimensional Database Design & Architecture
This document discusses multidimensional databases and provides comparisons to relational databases. It describes how multidimensional databases are optimized for data warehousing and online analytical processing (OLAP) applications. Key aspects covered include dimensional modeling using star and snowflake schemas, data storage in cubes with dimensions and members, and performance benefits of multidimensional databases for interactive analysis of large datasets to support decision making.
Database management system
A database management system (DBMS) like MS Access is software that manages data stored in a database. It reduces data redundancy, creates links between users and programs, and makes it easy to add, edit and remove data. However, using a DBMS can be costly and time-consuming to set up and operate, and may require additional hardware and software. MS Access provides facilities to store structured data, organize it for retrieval, and includes objects like tables to store records, forms to enter and edit data, queries to extract specific data, and reports to present data.
Database Presentation
The document discusses different types of databases and database applications, including numeric/textual databases, multimedia databases, geographic information systems, data warehouses, and real-time databases. It also defines key database concepts such as database, data, mini-world, and database management system. Database systems are used to store and manage large volumes of structured data and provide functionality for defining data structures, querying and manipulating data, concurrent access, security, and more. Examples of database applications include a university student information system and a large tax filing database.
Data Visualisation & Analytics with Tableau (Beginner) - by Maria Koumandraki
This document outlines a 7 step process for creating data visualizations in Tableau. It includes an agenda, descriptions of each step, and demos. The 7 steps are: 1) Connecting to data, 2) Cleaning and preparing data, 3) Creating initial visualizations using Show Me or drag and drop, 4) Editing visualizations, 5) Analyzing data and creating additional visualizations, 6) Creating interactive dashboards, and 7) Sharing visualizations. The presenter leads attendees through examples on air pollution data and life expectancy data to demonstrate the process.
Uses of dbms
The document provides an overview of database management systems, including what they are, their benefits, examples, and types of database models. It discusses that a database is a structured collection of records stored in a computer system, and a database management system (DBMS) is software used to organize, analyze, and modify the stored data. Benefits of DBMS include increased productivity, consolidated data, and the ability to easily change information systems. Examples provided are Oracle, Microsoft Access, and SQL Server. Types of database models described are distributed, network, object-oriented, hierarchical, and relational. The document also briefly mentions data security.
Database 1 Introduction
The document discusses a workshop on designing information systems for business organizations. It covers topics like the $10 billion industry shift towards information management, motivation for next generation databases, challenges of database technology, scenarios involving instant virtual enterprises and personalized information systems, and the aims and objectives of familiarizing participants with database development techniques.
More Related Content
What's hot
Data Warehouse Fundamentals
The document discusses dimensional modeling concepts for data warehousing. It defines dimensional modeling as a technique to design database tables optimized for analytical tasks in a data warehouse. Dimensional models consist of fact tables that contain metrics/measurements and dimension tables that provide context for the facts. The document provides examples of star schemas where the fact table is at the center connected to various dimension tables, and explains how dimensional modeling supports analysis of data through queries along different dimensions.
Types of databases
Here I describe How many Types in Database management System. I also tell about advantage and disadvantage of those types
DBMS
This document provides an overview and introduction to a lecture on database management systems (DBMS). It discusses how companies are increasingly data-driven and how this class will teach the basics of using and managing data. The lecture will cover the motivation for studying DBMS, an overview of the subject, and course logistics. The goal is for students to understand fundamental database concepts and be able to design, query, and build applications with databases.
Introduction to metadata management
PwC is a global network of firms providing professional services including assurance, tax, and advisory services. This training module provides an introduction to metadata management, including defining metadata, the metadata lifecycle, ensuring metadata quality, and using controlled vocabularies. Metadata exchanges and aggregation are important for interoperability.
Database basics
This document provides an overview of database basics and concepts for business analysts. It covers topics such as the need for databases, different types of database management systems (DBMS), data storage in tables, common database terminology, database normalization, SQL queries including joins and aggregations, and database design concepts.
SQL
SQL is a language used to manage data in relational database management systems. It allows users to define, manipulate, and control access to data. Some key points about SQL:
- SQL is used to query, insert, update, and manipulate data stored in tables. It represents data as rows and columns.
- It works with many programming languages and applications. Data can be retrieved using SELECT statements and inserted using INSERT statements.
- SQL databases store data in tables which can then be related to each other using operations like joins. This relational model allows flexible data retrieval and reporting.
Database administrator
A database administrator is responsible for installing, configuring, upgrading, administering, monitoring and maintaining databases. Key responsibilities include database design, performance and capacity issues, data replication, and table maintenance. DBAs ensure proper data organization and management through their skills in SQL, database design, and knowledge of database management systems and operating systems. There are several types of DBAs based on their specific roles like system DBA, database architect, and data warehouse administrator.
Ms access 2010
Microsoft Access is a database management program that allows users to create and manage databases. It allows users to create tables to store data in fields and records, and relate tables together. Users can also create forms and reports to display and organize the data. Advanced users can write code and applications to further manipulate the data. Access is used for personal, small business, departmental, and corporate applications to store and reference information.
Ms access
MS Access -defination, features,screenshots of menu bar in Access, problems, solution, using and working of MS Access.
Tutorial for using SQL in Microsoft Access
SQL is a programming language used to manage data in relational databases. It allows users to insert, query, update and delete data from database tables. Microsoft Access is a common program that uses SQL to interact with its data tables, allowing users to run queries to retrieve certain records based on conditions. The document provides examples of SQL statements like SELECT, UPDATE, DELETE used in Microsoft Access and videos demonstrating how to execute them to select, modify and remove data from Access tables.
Data Modeling with Power BI
This document discusses the importance of data modeling in Power BI and provides an agenda for a workshop on data modeling techniques. The agenda includes explaining why data modeling is important, relationships, cross filtering, many-to-many relationships, role playing dimensions, and using a calendar table. The workshop aims to explore the features of data modeling in Power BI and enable users to navigate data without having to rewrite queries each time.
data modeling and models
This document provides an overview of data modeling, including definitions of key concepts like data models and data modeling. It describes the evolution of popular data models from hierarchical to network to relational to entity-relationship to object-oriented models. For each model, it outlines the basic concepts, advantages, and disadvantages. The document emphasizes that newer data models aimed to address shortcomings of previous approaches and capture real-world data and relationships.
Basic Concept of Database
This document provides an overview of basic database concepts including:
- Definitions of data, information, and databases
- Components of database systems like users, software, hardware, and data
- Data models including entity-relationship, hierarchical, network, and relational models
- Database architecture types such as centralized, client-server, and distributed
- Advantages and disadvantages of database management systems
Introduction to database & sql
The document provides an introduction to databases and SQL. It defines what a database is as a collection of related data containing information relevant to an enterprise. It then discusses the properties of databases, what a database management system (DBMS) is, the typical functionality of a DBMS including defining, constructing, manipulating databases, and providing security. It also summarizes the components of a database system including fields, records, queries, and reports. The document then introduces SQL and its uses for data manipulation, definition, and administration. It provides examples of SQL statements for creating tables, inserting, querying, updating, and deleting data.
Power BI Interview Questions and Answers | Power BI Certification | Power BI ...
( Power BI Training - https://www.edureka.co/power-bi-training )
This Edureka "PowerBI Interview Questions and Answers" tutorial will help you unravel concepts of Power BI and touch those topics that are very vital for succeeding in Power BI Interviews.
This video helps you to learn the following topics:
1. General Power BI Questions
2. DAX
3. Power Pivot
4. Power Query
5. Power Map
6. Additional Questions
Check out our Power BI Playlist: https://goo.gl/97sJv1
Unit01 dbms 2
This document provides an overview of a database management systems course, including slides related to key concepts. The slides cover topics such as database applications, the benefits of using a DBMS over file systems, data models, SQL, database users and administrators, data storage and querying, and database system architectures. The document is intended to introduce students to fundamental DBMS concepts through explanatory slides.
Multidimensional Database Design & Architecture
This document discusses multidimensional databases and provides comparisons to relational databases. It describes how multidimensional databases are optimized for data warehousing and online analytical processing (OLAP) applications. Key aspects covered include dimensional modeling using star and snowflake schemas, data storage in cubes with dimensions and members, and performance benefits of multidimensional databases for interactive analysis of large datasets to support decision making.
Database management system
A database management system (DBMS) like MS Access is software that manages data stored in a database. It reduces data redundancy, creates links between users and programs, and makes it easy to add, edit and remove data. However, using a DBMS can be costly and time-consuming to set up and operate, and may require additional hardware and software. MS Access provides facilities to store structured data, organize it for retrieval, and includes objects like tables to store records, forms to enter and edit data, queries to extract specific data, and reports to present data.
Database Presentation
The document discusses different types of databases and database applications, including numeric/textual databases, multimedia databases, geographic information systems, data warehouses, and real-time databases. It also defines key database concepts such as database, data, mini-world, and database management system. Database systems are used to store and manage large volumes of structured data and provide functionality for defining data structures, querying and manipulating data, concurrent access, security, and more. Examples of database applications include a university student information system and a large tax filing database.
Data Visualisation & Analytics with Tableau (Beginner) - by Maria Koumandraki
This document outlines a 7 step process for creating data visualizations in Tableau. It includes an agenda, descriptions of each step, and demos. The 7 steps are: 1) Connecting to data, 2) Cleaning and preparing data, 3) Creating initial visualizations using Show Me or drag and drop, 4) Editing visualizations, 5) Analyzing data and creating additional visualizations, 6) Creating interactive dashboards, and 7) Sharing visualizations. The presenter leads attendees through examples on air pollution data and life expectancy data to demonstrate the process.
What's hot (20)
Power BI Interview Questions and Answers | Power BI Certification | Power BI ...
Power BI Interview Questions and Answers | Power BI Certification | Power BI ...
Data Visualisation & Analytics with Tableau (Beginner) - by Maria Koumandraki
Data Visualisation & Analytics with Tableau (Beginner) - by Maria Koumandraki
Similar to Introduction to database development
Uses of dbms
The document provides an overview of database management systems, including what they are, their benefits, examples, and types of database models. It discusses that a database is a structured collection of records stored in a computer system, and a database management system (DBMS) is software used to organize, analyze, and modify the stored data. Benefits of DBMS include increased productivity, consolidated data, and the ability to easily change information systems. Examples provided are Oracle, Microsoft Access, and SQL Server. Types of database models described are distributed, network, object-oriented, hierarchical, and relational. The document also briefly mentions data security.
Database 1 Introduction
The document discusses a workshop on designing information systems for business organizations. It covers topics like the $10 billion industry shift towards information management, motivation for next generation databases, challenges of database technology, scenarios involving instant virtual enterprises and personalized information systems, and the aims and objectives of familiarizing participants with database development techniques.
Database Management
This document defines key concepts related to databases including:
- A database is an organized collection of related data stored digitally.
- Data is organized into tables with rows and columns. Each row is a record and each column is a field.
- A database management system (DBMS) stores, manages, and provides access to database data.
- Common applications of databases include banking, education, healthcare, and more.
Ch-1-Introduction-to-Database.pdf
The document provides an introduction to database management systems. It discusses key concepts such as the purpose of DBMSs, data models, database languages, database design, storage and query processing. It also describes common DBMS components like the data dictionary and different types of database users. Overall, the document serves as a high-level overview of database management systems and lays the foundation for further exploration of topics within this domain.
ppt on database management
This presentation provides an overview of database management systems (DBMS). It introduces databases and the two main types: centralized and distributed. It then discusses the purpose of a DBMS, including organizing data, providing security, and allowing multiple users simultaneous access. The key components of a DBMS are also outlined, including hardware, software, data, and users. Examples applications are given such as banking, libraries, and social media. The main advantages are better data management, security, and decision making. Limitations include increased costs and complexity.
DATA RESOURCE MANAGEMENT
Detailed slides of data resource management. The relationships among the many individual data elements stored in databases are based on one of several logical data structures, or models.
Dbms Useful PPT
The document discusses key concepts related to databases including data, information, database management systems (DBMS), database design, and entity relationship modeling. It defines data as raw unorganized facts and information as organized, meaningful data. A database is a collection of organized data that can be easily accessed, managed and updated. Effective database design involves conceptual, logical and physical data modeling to structure data and relationships. The entity relationship model uses entities, attributes, and relationships to graphically represent data structures and relationships.
Dbms9
This document discusses databases and database management. It begins by explaining the problems with traditional file-based data storage and how a database management system (DBMS) addresses these issues by centralizing data. The DBMS acts as an interface between applications and data storage. Key components of a DBMS include data definition and manipulation languages and a data dictionary. The document then covers database design, trends like data warehousing and online analytical processing, and how databases are used on the web.
Introduction to data warehousing
The document provides an overview of data warehousing concepts introduced by Bill Inmon, who is considered the father of data warehousing. It defines a data warehouse as a collection of integrated subject-oriented databases designed to support decision-making. An operational data store feeds raw data to the data warehouse. Data marts contain targeted subsets of data for specific user groups. Metadata provides data about the structure and meaning of data within the warehouse.
Introduction to data warehousing
The document provides an overview of data warehousing concepts including:
- William Inmon is considered the "father of data warehousing" and has written extensively on the topic.
- A data warehouse is a collection of integrated subject-oriented databases designed to support decision-making. It contains non-volatile, time-variant data from one or more sources.
- An operational data store feeds the data warehouse with a stream of raw data. A data mart offers targeted access to a subset of warehouse data. Metadata provides data about the structure and meaning of warehouse data.
Dbms and it infrastructure
This document provides an overview of data management and IT infrastructure. It discusses data versus information, basic concepts of data, databases, and database management systems. It covers database models including hierarchical, network, relational, and object-oriented. It also discusses database applications, benefits of a database approach, centralized versus distributed databases, relational databases, data warehouses, and data mining. Finally, it provides an introduction to IT infrastructure and discusses the evolution of IT infrastructure from the 1950s to present.
Mis chapter 7 database systems
This document provides an overview of database concepts. It discusses the traditional approach to data management versus the database approach. The traditional approach leads to problems like data redundancy, inconsistency, and inability to share data. A database management system addresses these issues by allowing centralized data storage and shared access. Key topics covered include data modeling, the relational database model, database administration, popular DBMSs, and emerging concepts like data warehousing, data mining and business intelligence.
Fundamentals of DBMS
The document discusses database management systems and their evolution. It provides details on different data models including hierarchical, network, and relational models. The hierarchical model was used in early systems but had limitations in handling many-to-many relationships. The network model addressed some of these issues but lacked standards. The relational model overcame many of the shortcomings of previous approaches and is now the most widely used, providing a simpler and more flexible way to organize data.
Database Technology- ITM
Database technology provides an internal representation of data that corresponds to real-world information. A database is a collection of organized data stored in a computer system. The database approach to data management offers increased flexibility and requires a database management system. Databases are designed through field, record, and table design and are created and modified using a data dictionary to maintain integrity.
Database Technology- ITM
Database technology provides an internal representation of data that corresponds to real-world information. A database is a collection of organized data stored in a computer system. The database approach to data management offers increased flexibility and requires a database management system to define data elements, maintain integrity, and facilitate access. Databases support routine business processes, information retrieval, and decision making.
Ms access
The document provides an overview of database management systems and Microsoft Access. It defines a DBMS as software that defines, manipulates, retrieves and manages data in a database. It discusses the key concepts of tables, queries, forms and reports. It explains how Access is used to create, open and manage database objects like tables and queries. It provides guidance on setting up a new blank Access database and creating tables by defining fields and setting field properties.
Introduction to database with ms access(DBMS)
A database is an organized collection of structured data stored electronically in a computer system. The document discusses database components including hardware, software, data, procedures, and access languages. It provides examples of database systems like MS Access and how it can be used to create tables, enter and query data, and perform other operations. Key database terms are defined such as entities, attributes, relationships, and database administrators' roles and responsibilities. Advantages and disadvantages of database management systems are also outlined.
Introduction to database with ms access.hetvii
A database is usually controlled by a database management system (DBMS). MS Access is a popular DBMS that allows users to create and manage databases. The document discusses various components of a database such as tables, queries, forms and reports. It provides information on how to create an MS Access database, add tables, enter data, create relationships between tables, write queries to extract data, and build forms and reports. The key aspects covered are data modeling using entity relationship diagrams, normalizing data to reduce redundancy, and performing common database operations like importing, exporting and analyzing data in MS Access.
Introduction to Database (Lecture 1).ppt
This document discusses data management concepts and database systems. It describes the hierarchy of data from bits to databases. Key concepts covered include data entities, attributes, and keys. The document compares the traditional approach of separate data files for each application to the database approach of centralized data management. Benefits of the database approach include reduced redundancy, improved integrity, and easier data access and updating. Components of a database system are also summarized, including hardware, software, people, procedures, and data.
Database Computer presentation file .pptx
A database management system (DBMS) is middleware that allows users to store, organize, access, and manipulate data in a database. A DBMS consists of a collection of interrelated data and a set of application programs to manage that data. It acts as an intermediary between the database and users or applications. Common DBMS types include hierarchical, relational, graph, and object-oriented relational. Features of DBMS include reducing data redundancy, allowing multi-user access, efficient data storage and retrieval, and high data security. Components include hardware, software, data, procedures, and database access languages like DDL, DML, DCL, and TCL.
Similar to Introduction to database development (20)
More from AKASH GHANATE
Introduction to ANOVA
In this ppt i have introduction, types of ANOVA, why to do ANOVA not multiple T-test, ANOVA assumptions, ANOVA examples
Consumer protection act 1986
In the ppt i have included Introduction- Consumer protection Act, 1986, Objectives of CPA, 1986, Machinery of CPA, 1986
Mutual funds
In this ppt i have included Knowing the Basics, How do mutual funds work?, History of Indian Mutual Fund, Types of Mutual Funds, Myths and Facts of Mutual Fund
Sme's in india
This presentarion includes Introduction Organisation structure,MSMED Act 2006,Objectives of MSMED act 2006,Classes of MSE's ,Characteristics of MSE's,Objectives of MSE's,PEST analysis on MSE's
Wages & Incentives
This topic is included with wages and incentives, where as in wages included with Elements of ideal Wage-System,Types of Wages, Merits & Demerits of Wages and in incentives with types of incentives, merits and demerits of incentives. Which can help a student to go through it.
Tata group Vision and mission and its porter's five forces
I have included the overview and Vision and mission, Porter's five forces analysis on TATA group FY 2021, Which comes under Strategic management, to understand and help the students.
More from AKASH GHANATE (6)
Tata group Vision and mission and its porter's five forces
Tata group Vision and mission and its porter's five forces
Recently uploaded
Natural birth techniques - Mrs.Akanksha Trivedi Rama University
Natural birth techniques - Mrs.Akanksha Trivedi Rama UniversityAkanksha trivedi rama nursing college kanpur.
Natural birth techniques are various type such as/ water birth , alexender method, hypnosis, bradley method, lamaze method etcCommunity pharmacy- Social and preventive pharmacy UNIT 5
Covered community pharmacy topic of the subject Social and preventive pharmacy for Diploma and Bachelor of pharmacy
Hindi varnamala | hindi alphabet PPT.pdf
हिंदी वर्णमाला पीपीटी, hindi alphabet PPT presentation, hindi varnamala PPT, Hindi Varnamala pdf, हिंदी स्वर, हिंदी व्यंजन, sikhiye hindi varnmala, dr. mulla adam ali, hindi language and literature, hindi alphabet with drawing, hindi alphabet pdf, hindi varnamala for childrens, hindi language, hindi varnamala practice for kids, https://www.drmullaadamali.com
How to Make a Field Mandatory in Odoo 17
In Odoo, making a field required can be done through both Python code and XML views. When you set the required attribute to True in Python code, it makes the field required across all views where it's used. Conversely, when you set the required attribute in XML views, it makes the field required only in the context of that particular view.
PCOS corelations and management through Ayurveda.
This presentation includes basic of PCOS their pathology and treatment and also Ayurveda correlation of PCOS and Ayurvedic line of treatment mentioned in classics.
Executive Directors Chat Leveraging AI for Diversity, Equity, and Inclusion
Let’s explore the intersection of technology and equity in the final session of our DEI series. Discover how AI tools, like ChatGPT, can be used to support and enhance your nonprofit's DEI initiatives. Participants will gain insights into practical AI applications and get tips for leveraging technology to advance their DEI goals.
LAND USE LAND COVER AND NDVI OF MIRZAPUR DISTRICT, UP
This Dissertation explores the particular circumstances of Mirzapur, a region located in the
core of India. Mirzapur, with its varied terrains and abundant biodiversity, offers an optimal
environment for investigating the changes in vegetation cover dynamics. Our study utilizes
advanced technologies such as GIS (Geographic Information Systems) and Remote sensing to
analyze the transformations that have taken place over the course of a decade.
The complex relationship between human activities and the environment has been the focus
of extensive research and worry. As the global community grapples with swift urbanization,
population expansion, and economic progress, the effects on natural ecosystems are becoming
more evident. A crucial element of this impact is the alteration of vegetation cover, which plays a
significant role in maintaining the ecological equilibrium of our planet.Land serves as the foundation for all human activities and provides the necessary materials for
these activities. As the most crucial natural resource, its utilization by humans results in different
'Land uses,' which are determined by both human activities and the physical characteristics of the
land.
The utilization of land is impacted by human needs and environmental factors. In countries
like India, rapid population growth and the emphasis on extensive resource exploitation can lead
to significant land degradation, adversely affecting the region's land cover.
Therefore, human intervention has significantly influenced land use patterns over many
centuries, evolving its structure over time and space. In the present era, these changes have
accelerated due to factors such as agriculture and urbanization. Information regarding land use and
cover is essential for various planning and management tasks related to the Earth's surface,
providing crucial environmental data for scientific, resource management, policy purposes, and
diverse human activities.
Accurate understanding of land use and cover is imperative for the development planning
of any area. Consequently, a wide range of professionals, including earth system scientists, land
and water managers, and urban planners, are interested in obtaining data on land use and cover
changes, conversion trends, and other related patterns. The spatial dimensions of land use and
cover support policymakers and scientists in making well-informed decisions, as alterations in
these patterns indicate shifts in economic and social conditions. Monitoring such changes with the
help of Advanced technologies like Remote Sensing and Geographic Information Systems is
crucial for coordinated efforts across different administrative levels. Advanced technologies like
Remote Sensing and Geographic Information Systems
9
Changes in vegetation cover refer to variations in the distribution, composition, and overall
structure of plant communities across different temporal and spatial scales. These changes can
occur natural.
ISO/IEC 27001, ISO/IEC 42001, and GDPR: Best Practices for Implementation and...
Denis is a dynamic and results-driven Chief Information Officer (CIO) with a distinguished career spanning information systems analysis and technical project management. With a proven track record of spearheading the design and delivery of cutting-edge Information Management solutions, he has consistently elevated business operations, streamlined reporting functions, and maximized process efficiency.
Certified as an ISO/IEC 27001: Information Security Management Systems (ISMS) Lead Implementer, Data Protection Officer, and Cyber Risks Analyst, Denis brings a heightened focus on data security, privacy, and cyber resilience to every endeavor.
His expertise extends across a diverse spectrum of reporting, database, and web development applications, underpinned by an exceptional grasp of data storage and virtualization technologies. His proficiency in application testing, database administration, and data cleansing ensures seamless execution of complex projects.
What sets Denis apart is his comprehensive understanding of Business and Systems Analysis technologies, honed through involvement in all phases of the Software Development Lifecycle (SDLC). From meticulous requirements gathering to precise analysis, innovative design, rigorous development, thorough testing, and successful implementation, he has consistently delivered exceptional results.
Throughout his career, he has taken on multifaceted roles, from leading technical project management teams to owning solutions that drive operational excellence. His conscientious and proactive approach is unwavering, whether he is working independently or collaboratively within a team. His ability to connect with colleagues on a personal level underscores his commitment to fostering a harmonious and productive workplace environment.
Date: May 29, 2024
Tags: Information Security, ISO/IEC 27001, ISO/IEC 42001, Artificial Intelligence, GDPR
-------------------------------------------------------------------------------
Find out more about ISO training and certification services
Training: ISO/IEC 27001 Information Security Management System - EN | PECB
ISO/IEC 42001 Artificial Intelligence Management System - EN | PECB
General Data Protection Regulation (GDPR) - Training Courses - EN | PECB
Webinars: https://pecb.com/webinars
Article: https://pecb.com/article
-------------------------------------------------------------------------------
For more information about PECB:
Website: https://pecb.com/
LinkedIn: https://www.linkedin.com/company/pecb/
Facebook: https://www.facebook.com/PECBInternational/
Slideshare: http://www.slideshare.net/PECBCERTIFICATION
The Diamonds of 2023-2024 in the IGRA collection
A review of the growth of the Israel Genealogy Research Association Database Collection for the last 12 months. Our collection is now passed the 3 million mark and still growing. See which archives have contributed the most. See the different types of records we have, and which years have had records added. You can also see what we have for the future.
Walmart Business+ and Spark Good for Nonprofits.pdf
"Learn about all the ways Walmart supports nonprofit organizations.
You will hear from Liz Willett, the Head of Nonprofits, and hear about what Walmart is doing to help nonprofits, including Walmart Business and Spark Good. Walmart Business+ is a new offer for nonprofits that offers discounts and also streamlines nonprofits order and expense tracking, saving time and money.
The webinar may also give some examples on how nonprofits can best leverage Walmart Business+.
The event will cover the following::
Walmart Business + (https://business.walmart.com/plus) is a new shopping experience for nonprofits, schools, and local business customers that connects an exclusive online shopping experience to stores. Benefits include free delivery and shipping, a 'Spend Analytics” feature, special discounts, deals and tax-exempt shopping.
Special TechSoup offer for a free 180 days membership, and up to $150 in discounts on eligible orders.
Spark Good (walmart.com/sparkgood) is a charitable platform that enables nonprofits to receive donations directly from customers and associates.
Answers about how you can do more with Walmart!"
BBR 2024 Summer Sessions Interview Training
Qualitative research interview training by Professor Katrina Pritchard and Dr Helen Williams
Exploiting Artificial Intelligence for Empowering Researchers and Faculty, In...
Exploiting Artificial Intelligence for Empowering Researchers and Faculty, In...Dr. Vinod Kumar Kanvaria
Exploiting Artificial Intelligence for Empowering Researchers and Faculty,
International FDP on Fundamentals of Research in Social Sciences
at Integral University, Lucknow, 06.06.2024
By Dr. Vinod Kumar KanvariaAzure Interview Questions and Answers PDF By ScholarHat
Azure Interview Questions and Answers PDF By ScholarHat
Chapter 4 - Islamic Financial Institutions in Malaysia.pptx
Chapter 4 - Islamic Financial Institutions in Malaysia.pptxMohd Adib Abd Muin, Senior Lecturer at Universiti Utara Malaysia
This slide is special for master students (MIBS & MIFB) in UUM. Also useful for readers who are interested in the topic of contemporary Islamic banking.
BÀI TẬP BỔ TRỢ TIẾNG ANH 8 CẢ NĂM - GLOBAL SUCCESS - NĂM HỌC 2023-2024 (CÓ FI...
BÀI TẬP BỔ TRỢ TIẾNG ANH 8 CẢ NĂM - GLOBAL SUCCESS - NĂM HỌC 2023-2024 (CÓ FI...Nguyen Thanh Tu Collection
https://app.box.com/s/y977uz6bpd3af4qsebv7r9b7s21935vdANATOMY AND BIOMECHANICS OF HIP JOINT.pdf
it describes the bony anatomy including the femoral head , acetabulum, labrum . also discusses the capsule , ligaments . muscle that act on the hip joint and the range of motion are outlined. factors affecting hip joint stability and weight transmission through the joint are summarized.
Pengantar Penggunaan Flutter - Dart programming language1.pptx
Pengantar Penggunaan Flutter - Dart programming language1.pptx
Recently uploaded (20)
Natural birth techniques - Mrs.Akanksha Trivedi Rama University
Natural birth techniques - Mrs.Akanksha Trivedi Rama University
Community pharmacy- Social and preventive pharmacy UNIT 5
Community pharmacy- Social and preventive pharmacy UNIT 5
Executive Directors Chat Leveraging AI for Diversity, Equity, and Inclusion
Executive Directors Chat Leveraging AI for Diversity, Equity, and Inclusion
LAND USE LAND COVER AND NDVI OF MIRZAPUR DISTRICT, UP
LAND USE LAND COVER AND NDVI OF MIRZAPUR DISTRICT, UP
ISO/IEC 27001, ISO/IEC 42001, and GDPR: Best Practices for Implementation and...
ISO/IEC 27001, ISO/IEC 42001, and GDPR: Best Practices for Implementation and...
Walmart Business+ and Spark Good for Nonprofits.pdf
Walmart Business+ and Spark Good for Nonprofits.pdf
Exploiting Artificial Intelligence for Empowering Researchers and Faculty, In...
Exploiting Artificial Intelligence for Empowering Researchers and Faculty, In...
Azure Interview Questions and Answers PDF By ScholarHat
Azure Interview Questions and Answers PDF By ScholarHat
Film vocab for eal 3 students: Australia the movie
Film vocab for eal 3 students: Australia the movie
Chapter 4 - Islamic Financial Institutions in Malaysia.pptx
Chapter 4 - Islamic Financial Institutions in Malaysia.pptx
BÀI TẬP BỔ TRỢ TIẾNG ANH 8 CẢ NĂM - GLOBAL SUCCESS - NĂM HỌC 2023-2024 (CÓ FI...
BÀI TẬP BỔ TRỢ TIẾNG ANH 8 CẢ NĂM - GLOBAL SUCCESS - NĂM HỌC 2023-2024 (CÓ FI...
Pengantar Penggunaan Flutter - Dart programming language1.pptx
Pengantar Penggunaan Flutter - Dart programming language1.pptx
Introduction to database development
- 1. IT TOOLS FOR BUSINESS INTRODUCTION TO DATABASE DEVELOPMENT PRESENTED TO :- DR.KAVITA MA'AM
- 2. Covered Today A brief outline INTRODUCTION DATABASE TERMINOLOGY OBJECTS MICROSOFT ACCESS CREATING TABLES WORKING WITH FIELDS
- 3. DATABASE DEVELOPMENT It is a well-organised collection of data generally stored and accessed electronically from a computer system.
- 4. Databases are more Complex OFTEN DEVELOPED USING FORMAL DESIGN & MODELLING TECHNIQUE
- 5. DATABASE MANAGEMENT SYSTEM (DBMS) The software that interacts with end-users, application itself to capture, create & control access to the database.
- 6. Basic Database Terminologies DATASHEET A FORMAT OF COLUMNS AND ROWS DISPLAYING INFORMATION. DATASHEETS ARE ALSO CALLED TABLES DATABASE MODELING The process of strategically planning where to store each piece of information you wish to include in your database. FIELD a specific item of information containing a homogenous set of values throughout the table. Fields appear as columns in a table and as cells in a form. RECORDS Data is stored in records. A record is composed of fields and contains all the data about one particular person, company, or item in a database.
- 7. OBJECTS FORMS A database form show all or selected fields for one record. QUERIES A query finds records in a database according to criteria you specify. Sometimes working with all the data in a large database is not practical. REPORTS A report presents data in an attractive format and is especially suitable for printing.Reports can display data from tables or queries. A COMPONENT OF A DATABASE, SUCH AS A TABLE, QUERY, FORM, OR REPORT. TABLE A database table is composed of records and fields that hold data. Tables are also called datasheets. Each table in database holds data about a different, but related, subject.
- 8. MS ACCESS Micorsoft Access is a realtional database management system (RDBMS) Designed primarilary for home and small business usage
- 11. Be Inspired IMAGINATION IS MORE IMPORTANT THAN KNOWLEDGE. ALBERT EINSTEIN
- 12. A N Y D O U B T S ? ?
- 13. THANK YOU!!